Cover Image

Universal Graph Backdoor Defense: A Feature-based Homophily Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pan, Mengting, Li, Fan, Chen, Chen, Wang, Xiaoyang
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robustness Inspired Graph Backdoor Defense
by: Zhang, Zhiwei, et al.
Published: (2024)

BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural Networks
by: Li, Xinfu, et al.
Published: (2024)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
by: Zhang, Zhiwei, et al.
Published: (2024)

FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning
by: Yang, Yanxin, et al.
Published: (2023)

Seal Your Backdoor with Variational Defense
by: Sabolić, Ivan, et al.
Published: (2025)

MADE: Graph Backdoor Defense with Masked Unlearning
by: Lin, Xiao, et al.
Published: (2024)

Invariant Aggregator for Defending against Federated Backdoor Attacks
by: Wang, Xiaoyang, et al.
Published: (2022)

PECAN: A Deterministic Certified Defense Against Backdoor Attacks
by: Zhang, Yuhao, et al.
Published: (2023)

Backdoor Defense through Self-Supervised and Generative Learning
by: Sabolić, Ivan, et al.
Published: (2024)

HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
by: Xu, Wen, et al.
Published: (2026)

Quantization Blindspots: How Model Compression Breaks Backdoor Defenses
by: Pandey, Rohan, et al.
Published: (2025)

Backdoor Graph Condensation
by: Wu, Jiahao, et al.
Published: (2024)

FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning
by: Yan, Xinhai, et al.
Published: (2025)

Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense
by: Ma, Hua, et al.
Published: (2023)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
by: Wu, Baoyuan, et al.
Published: (2024)

Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)

Backdoor Attacks on Discrete Graph Diffusion Models
by: Wang, Jiawen, et al.
Published: (2025)

Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
by: Pawlak, Stanisław, et al.
Published: (2025)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
by: Sui, Hao, et al.
Published: (2024)

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
by: Lin, Weilin, et al.
Published: (2024)

Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
by: Min, Rui, et al.
Published: (2024)

FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement
by: Abacha, Fatima Z., et al.
Published: (2026)

FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients
by: Zhang, Jianyi, et al.
Published: (2025)

Is the Trigger Essential? A Feature-Based Triggerless Backdoor Attack in Vertical Federated Learning
by: Liu, Yige, et al.
Published: (2026)

Data-centric NLP Backdoor Defense from the Lens of Memorization
by: Wang, Zhenting, et al.
Published: (2024)

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
by: Liu, Dongyi, et al.
Published: (2025)

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
by: Liu, Qin, et al.
Published: (2023)

Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
by: Dai, Yanbo, et al.
Published: (2025)

Certified Defense on the Fairness of Graph Neural Networks
by: Dong, Yushun, et al.
Published: (2023)

Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
by: Mukherjee, Kunal, et al.
Published: (2023)

On the Robustness of Graph Reduction Against GNN Backdoor
by: Zhu, Yuxuan, et al.
Published: (2024)

Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
by: King, Isaiah J., et al.
Published: (2025)

Injecting Universal Jailbreak Backdoors into LLMs in Minutes
by: Chen, Zhuowei, et al.
Published: (2025)

DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense
by: You, Ziyang, et al.
Published: (2026)

Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
by: Wang, Xiaobao, et al.
Published: (2025)

Pruning Graphs by Adversarial Robustness Evaluation to Strengthen GNN Defenses
by: Wang, Yongyu
Published: (2025)

Krait: A Backdoor Attack Against Graph Prompt Tuning
by: Song, Ying, et al.
Published: (2024)

Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed Graphs
by: Luo, Qi, et al.
Published: (2026)

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
by: Yang, Han, et al.
Published: (2025)